Task management on fully heterogeneous micro‐server system: Modeling and resolution strategies. (9th September 2018)
- Record Type:
- Journal Article
- Title:
- Task management on fully heterogeneous micro‐server system: Modeling and resolution strategies. (9th September 2018)
- Main Title:
- Task management on fully heterogeneous micro‐server system: Modeling and resolution strategies
- Authors:
- Zaourar, Lilia
Ait Aba, Massinissa
Briand, David
Philippe, Jean‐Marc - Other Names:
- Barbosa Jorge G. guestEditor.
Jeannot Emmanuel guestEditor.
Li Maozhen guestEditor. - Abstract:
- Summary: Many of today's important applications of our everyday lives, eg, weather forecast, design of plane and car shapes, medical analysis, or search engine queries depend on massively parallel computer programs executed in data centers. A large amount of energy is used to power them, and it is of primary importance to compute more efficiently to sustain the increasing demand of computing power while keeping energy consumption reasonable. One promising research path in this domain is heterogeneous systems since specific computing resources (processors, accelerators, etc) are more adapted to efficiently execute parts of applications. Nevertheless, the exploitation of these platforms raises new challenges in terms of application management optimization. The aim of our work is to determine effective algorithms to exploit these heterogeneous platforms by finding appropriate application mapping and scheduling to optimize the execution time and energy consumption with respect to various constraints. To achieve this goal, there is a need of a detailed modeling of the applications and the underlying hardware to be able to find realistic solutions. In this paper, we propose such a model, provide two implementations with state‐of‐the‐art tools, and propose a fast greedy online resolution algorithm and preliminary mapping and scheduling numerical results.
- Is Part Of:
- Concurrency and computation. Volume 30:Number 23(2018)
- Journal:
- Concurrency and computation
- Issue:
- Volume 30:Number 23(2018)
- Issue Display:
- Volume 30, Issue 23 (2018)
- Year:
- 2018
- Volume:
- 30
- Issue:
- 23
- Issue Sort Value:
- 2018-0030-0023-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2018-09-09
- Subjects:
- energy consumption -- execution time -- heterogeneous computing -- task mapping and scheduling
Parallel processing (Electronic computers) -- Periodicals
Parallel computers -- Periodicals
004.35 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/cpe.4798 ↗
- Languages:
- English
- ISSNs:
- 1532-0626
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3405.622000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8543.xml